|
The team has keen product insights into search, and launched Twitter’s SQL-based search analysis engine half a month after the launch of GPT-. The second highest number of likes is for new model launches, while less attention is paid to product updates and iterations, which the Perplexity team attaches more importance to and invests in. It can be speculated that the current public understanding of I search products is still in the trial of similar products, and has not yet entered into in-depth experience of product functions or formed significant user stickiness. Functional innovation makes up for the shortcomings of the answer engine
"Devil in the detils". Perplexity's excellent search experience benefits from its many innovative functions, especially Source Edit source editing, Focus Serch focus mode and Perplexity Copilot. Perplexity doesn't always perform well. For exa Argentina WhatsApp Number mple, when asking "Who is on Twitter," Perplexity sometimes answered incorrectly, even though similar products answered Lind Yccrino correctly. This error stems from a reference to a Wikipedia entry that has not been updated in a timely manner. For such errors, the Source Edit feature provides effective solutions. Source Edit allows users to edit reference sources and search again.
Currently, this function only supports deleting rather than adding sources, which effectively reduces the interference of irrelevant sources on the results and corrects potential instability manually. As you can see, after excluding Wikipedias that contain incorrect information, Perplexity is able to give the correct answer. In addition, users can use the Focus Search function to limit the search scope before starting a new search to improve search results. The feature is specifically optimized for academic searches, mathematical calculations, YouTube video and Reddit forum searches, and more. YouTube video searches, in particular, have quotes that link directly to the exact point in time of the relevant content in the video.
|
|